For our fine-grained experiments, we re-implement three baselines: Prototypical Networks (ProtoNet\(^{\dag }\) ) [1]}, CTX\(^{\dag }\)  [2]}, and DSN\(^{\dag }\)  [3]}, where \(\dag \)  denotes our implementation.
For fair comparison, we do not use pre-training for any of our implemented models here,
or tune FRN hyperparameters separately from baseline models.
